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Springer Source and Channel Coding: An Algorithmic Approach - Springer

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Description

This comprehensive guide bridges the gap between information theory and practical coding engineering by emphasizing algorithmic approaches over pure probability theory. Unlike traditional courses that focus solely on Shannon theory and probabilistic bounds, this Springer publication addresses the real-world engineering challenges of modern coding, exploring structures, algorithms, and their impact on size, speed and error performance. The book integrates both theoretical foundations and practical implementation strategies, making it essential for computer scientists, engineers and researchers working with communication systems who need to understand how coded communication actually functions beyond mathematical abstractions. Perfect for advanced students and professionals seeking to master the algorithmic foundations of source and channel coding in contemporary computing.

Key Features

Springer's algorithmic approach focuses on practical coding structures rather than solely theoretical probability frameworks.

Covers both source and channel coding techniques with emphasis on real-world engineering applications and performance metrics.

Bridges information theory and implementation by exploring algorithms, their computational efficiency, speed and error correction capabilities.

Part of The Springer International Series in Engineering and Computer Science, providing authoritative coverage of coding theory fundamentals.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
30 September 2012
Listed Since
14 July 2013

Barcode

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